• views: 138
• date: 18 May 2026
• posted by: 0nelove

What you'll learn
Fundamentals of LLMs
Jailbreaking LLMs
OWASP Top 10 LLM & GenAI
Hands On - LLM Red Teaming with tools
Writing Malicious Prompts (Adversarial Prompt Engineering)
Requirements
Basics of Python Programming
Cybersecurity Fundamentals
Description
Objective
This course provides hands-on training in AI security, focusing on red teaming for large language models (LLMs). It is designed for offensive cybersecurity researchers, AI practitioners, and managers of cybersecurity teams. The training aims to equip participants with skills to
Identify and exploit vulnerabilities in AI systems for ethical purposes.
Defend AI systems from attacks.
Implement AI governance and safety measures within organizations.
Learning Goals
Understand generative AI risks and vulnerabilities.
Explore regulatory frameworks like the EU AI Act and emerging AI safety standards.
Gain practical skills in testing and securing LLM systems.
Course Structure
Introduction to AI Red Teaming
Architecture of LLMs.
Taxonomy of LLM risks.
Overview of red teaming strategies and tools.
Breaking LLMs
Techniques for jailbreaking LLMs.
Hands-on exercises for vulnerability testing.
Prompt Injections
Basics of prompt injections and their differences from jailbreaking.
Techniques for conducting and preventing prompt injections.
Practical exercises with RAG (Retrieval-Augmented Generation) and agent architectures.
OWASP Top 10 Risks for LLMs
Understanding common risks.
Demos to reinforce concepts.
Guided red teaming exercises for testing and mitigating these risks.
Implementation Tools and Resources
Jupyter notebooks, templates, and tools for red teaming.
Taxonomy of security tools to implement guardrails and monitoring solutions.
Key Outcomes
Enhanced Knowledge: Develop expertise in AI security terminology, frameworks, and tactics.
Practical Skills: Hands-on experience in red teaming LLMs and mitigating risks.
Framework Development: Build AI governance and security maturity models for your organization.
Who Should Attend?
This course is ideal for
Offensive cybersecurity researchers.
AI practitioners focused on defense and safety.
Managers seeking to build and guide AI security teams.
Good luck and see you in the sessions!
Who this course is for
Cybersecurity Professionals who wants to secure LLMs and AI Agents



   
   
   

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